Davide Cacciarelli

17 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity. CoRR Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar
2025	J	`jnl`	Camera clustering for scalable stream-based active distillation. Expert Syst. Appl. Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq
2025	J	`jnl`	Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport. CoRR Alessandro Contini, Davide Cacciarelli, Murat Kulahci
2025	J	`jnl`	Do we actually understand the impact of renewables on electricity prices? A causal inference approach. CoRR Davide Cacciarelli, Pierre Pinson, Filip Panagiotopoulos, David Dixon, Lizzie Blaxland
2024	—	`—`	Active Learning for Data Streams. Davide Cacciarelli
2024	J	`jnl`	Active learning for data streams: a survey. Mach. Learn. Davide Cacciarelli, Murat Kulahci
2024	J	`jnl`	Camera clustering for scalable stream-based active distillation. CoRR Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq
2024	J	`jnl`	Real-Time Sampling Strategies for Regression with Irrelevant Features. Int. J. Semantic Comput. Davide Cacciarelli, John Sølve Tyssedal, Murat Kulahci
2024	J	`jnl`	Robust online active learning. Qual. Reliab. Eng. Int. Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
2023	J	`jnl`	A survey on online active learning. CoRR Davide Cacciarelli, Murat Kulahci
2023	J	`jnl`	Robust online active learning. CoRR Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
2023	—	`conf`	Stream-Based Active Distillation for Scalable Model Deployment. CVPR Workshops Dani Manjah, Davide Cacciarelli, Mohamed Benkedadra, Baptiste Standaert, Gauthier Rotsart De Hertaing, Benoît Macq, Stéphane Galland, Christophe De Vleeschouwer
2023	—	`conf`	Stream-Based Active Learning for Regression with Dynamic Feature Selection. TransAI Davide Cacciarelli, John Sølve Tyssedal, Murat Kulahci
2022	J	`jnl`	A novel fault detection and diagnosis approach based on orthogonal autoencoders. Comput. Chem. Eng. Davide Cacciarelli, Murat Kulahci
2022	J	`jnl`	Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders. CoRR Davide Cacciarelli, Murat Kulahci, John Tyssedal
2022	J	`jnl`	Stream-based active learning with linear models. CoRR Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
2022	J	`jnl`	Stream-based active learning with linear models. Knowl. Based Syst. Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal